content-engine

content-engine is a skill for Claude Code, Codex from xu-xiang/everything-claude-code-zh. It costs 71 tokens per session (924 once invoked), scanned A, original, MIT.

A content system for adapting one source idea into separate posts, scripts, or plans for X, LinkedIn, TikTok, YouTube, and newsletters.

In plain words
What is it for?
Use it to create social posts, threads, video scripts, newsletters, content calendars, and platform-specific versions of articles, podcasts, demos, or documents.
Why use it?
It helps avoid publishing the same wording everywhere and keeps each version suited to its platform, audience, and goal.

Skill for Claude CodeCodex

Written for Claude Code and Codex: shipped in a Claude Code plugin, but also agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

Part of the everything-claude-code-zh plugin — 17 skills, 26 commands, 13 agents shipped together

About the project

everything-claude-code-zh is a Chinese translation of a collection of configurations for Claude Code and other AI coding agents. It provides agents, skills, hooks, commands, rules, and MCP configurations intended to support development workflows such as memory persistence, security scanning, evaluation, and research-first work. The catalogue includes commands, skills, agents, instructions, and a plugin from this configuration set.

xu-xiang/everything-claude-code-zh · 1,929 stars · on GitHub · oneskill.one

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/xu-xiang/everything-claude-code-zh/content-engine
Any agent
npx skills add xu-xiang/everything-claude-code-zh --skill content-engine
Clone the repo
git clone --depth 1 https://github.com/xu-xiang/everything-claude-code-zh

Made for: Claude Code, Codex.

Or install everything-claude-code-zh, the plugin that ships this one along with the rest of its 17 skills, 26 commands, 13 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for content-engine

README.md
[![agentmods](https://agentmods.dev/badge/skills/xu-xiang/everything-claude-code-zh/content-engine.svg)](https://agentmods.dev/skills/xu-xiang/everything-claude-code-zh/content-engine)
Your own site
<a href="https://agentmods.dev/skills/xu-xiang/everything-claude-code-zh/content-engine"><img src="https://agentmods.dev/badge/skills/xu-xiang/everything-claude-code-zh/content-engine.svg" alt="Measured on agentmods" height="20"></a>
Per session 71 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 924 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00071 $0.00924
Opus 5 $0.00036 $0.00462
Sonnet 5 $0.00014 $0.00185
Haiku 4.5 $0.00007 $0.00092

Measured 6d ago against content hash 07a579fc01a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

content-engine scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/content-engine/SKILL.md · 89 lines

What it actually says

内容引擎 (Content Engine)

将单一想法转化为强有力的、平台原生的内容,而不是在所有地方发布同样的东西。

何时启用 (When to Activate)

  • 编写 X (原 Twitter) 帖子或推文串 (Threads)
  • 起草 LinkedIn 动态或发布更新
  • 编写短视频脚本或 YouTube 讲解视频脚本
  • 将文章、播客、演示 (Demos) 或文档改写为社交媒体内容
  • 围绕发布、里程碑或特定主题构建轻量级内容计划

核心调研问题 (First Questions)

需明确:

  • 源素材:我们基于什么进行改写
  • 受众:开发者 (Builders)、投资者、客户、运营者或普通受众
  • 平台:X、LinkedIn、TikTok、YouTube、时事通讯 (Newsletter) 或多平台
  • 目标:品牌知名度、转化、招聘、权威性建立、发布支持或互动

核心规则 (Core Rules)

  1. 适配平台特性。严禁在不同平台同步分发完全相同的文案。
  2. 钩子 (Hooks) 比摘要更重要。
  3. 每篇帖子应只传达一个清晰的想法。
  4. 使用具体的细节,而非空洞的口号。
  5. 保持号召性用语 (CTA) 小而清晰。

平台指南 (Platform Guidance)

X

  • 快速切入主题
  • 每条帖子或推文串中的每条推文只讲一个想法
  • 除非必要,否则不要将链接放在正文中
  • 避免滥用话题标签 (Hashtag Spam)

LinkedIn

  • 强有力的首行
  • 短段落
  • 围绕经验教训、成果和要点 (Takeaways) 进行更明确的架构设计

TikTok / 短视频

  • 前 3 秒必须抓住注意力
  • 围绕视觉效果编写脚本,而不仅仅是旁白
  • 一个演示,一个主张,一个号召性用语 (CTA)

YouTube

  • 尽早展示结果
  • 按章节结构组织
  • 每 20-30 秒刷新一次视觉内容

时事通讯 (Newsletter)

  • 提供一个清晰的视角,而不是一堆无关项目的堆砌
  • 使章节标题易于快速浏览
  • 确保开头段落具有实质性内容

内容改写流程 (Repurposing Flow)

默认级联步骤:

  1. 锚点资产 (Anchor Asset):文章、视频、演示、备忘录 (Memo) 或发布文档
  2. 提取 3-7 个原子想法
  3. 编写平台原生的变体内容
  4. 削减不同输出之间的重复内容
  5. 使号召性用语 (CTA) 与平台意图保持一致

交付物 (Deliverables)

当被要求策划一场活动时,返回:

  • 核心切入点
  • 针对特定平台的草案
  • 可选的发布顺序
  • 可选的号召性用语 (CTA) 变体
  • 发布前所需的任何缺失输入

质量关卡 (Quality Gate)

交付前检查:

  • 每个草案对于其所在平台都具有原生感
  • 钩子 (Hooks) 强劲且具体
  • 没有通用的炒作语言
  • 除非有明确要求,否则不同平台之间没有重复文案
  • 号召性用语 (CTA) 与内容和受众相匹配
Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 89 lines · 71 tokens per session scan A 07a579fc01a3

Subscribe to this mod's changes

content-engine is a skill published in the GitHub repository xu-xiang/everything-claude-code-zh (1,929 stars, last pushed 6mo ago), licensed MIT. It adds 71 tokens to every session and 924 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.